Data Scientist (PhD)

About Targetbase

As a data-driven, strategic communications agency, we believe our clients become stronger when they leverage the wealth of information consumers provide every day. At Targetbase, we integrate technology, analytics, creative, and strategy to create a better consumer experience, which improves consumer engagement and drives a more profitable outcome for clients.

Job Scope & Purpose

The Data Scientist is a member of the Strategic Business Analytics team and participates in an analytic, novel insight-generating role. He/she is expected to develop powerful analytic solutions that address clients’ real marketing problems – this is not a data collection, cleansing / merging / data-creation and algorithm-implementation position. In addition, he/she provides novel analytic insights in relation to the client’s business domain and needs, not the technology behind the data collection, algorithm implementation, etc.

The Data Scientist is a team player, who is flexible, creative, and eager to learn and teach others. He/she is an exceptional data researcher with a desire to create business insights that drive decision-making and positively impact brands’ business results.

He/she is passionate about extracting the signal from the noise, and for merging and transforming rich multidimensional (and often imperfect) datasets into insight that improves decisions. This position requires the spirit of an entrepreneur who is outcomes- and customer-focused, and who thrives in a dynamic environment with lots of personal responsibilities and limited formalities.

Main Responsibilities

Delves into huge, noisy, and complex real-world behavioral data to produce innovative analysis and new types of consumer or business measures around consumer behaviors and engagement and business performance.

Uses creativity to find hidden gems that improve the understanding of consumer behaviors, brand-engagement and digital-media patterns to drive actionable business decisions.

Collaborates with teammates to solve business problems, using a broad spectrum of data science tools, packages and visualization techniques.

Disseminates knowledge of advanced analytics / machine learning and big data-application techniques within the organization and coaching junior analysts who want to move into this area.

Able to offer thought leadership in the form of white papers and / or conference speaking.

Executes standard exploratory and ad hoc data analysis. Interprets and presents results using tools such as PowerPoint, Excel or Tableau.

Implements and evaluates business metrics.

Applies cleansing, discretization, imputation, selection, generalization etc. to create high quality features for the modeling process.

Uses big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects. Maintains up to date knowledge of the relevant data set structures, access levels and ownership information.